A real-time multi-channel monitoring system for stem cell culture process

Yue, Xicai; Drakakis, Emmanuel; Lim, Mayasari; Radomska, Anna; Ye, Hua; Mantalaris, Athanasios; Panoskaltsis, Nicki; Cass, Anthony

Abstract

A novel, up to 128 channels, multi-parametric physiological measurement system suitable for monitoring hematopoietic stem cell culture processes and cell cultures in general is presented in this paper. The system aims to measure in real-time the most important physical and chemical culture parameters of hematopoietic stem cells, including physicochemical parameters, nutrients, and metabolites, in a long-term culture process. The overarching scope of this research effort is to control and optimize the whole bioprocess by means of the acquisition of real-time quantitative physiological information from the culture. The system is designed in a modular manner. Each hardware module can operate as an independent gain programmable, level shift adjustable, 16 channel data acquisition system specific to a sensor type. Up to eight such data acquisition modules can be combined and connected to the host PC to realize the whole system hardware. The control of data acquisition and the subsequent management of data is performed by the system’s software which is coded in LabVIEW. Preliminary experimental results presented here show that the system not only has the ability to interface to various types of sensors allowing the monitoring of different types of culture parameters. Moreover, it can capture dynamic variations of culture parameters by means of real-time multi-channel measurements thus providing additional information on both temporal and spatial profiles of these parameters within a bioreactor. The system is by no means constrained in the hematopoietic stem cell culture field only. It is suitable for cell growth monitoring applications in general.

Citation

Yue, X., Drakakis, E., Lim, M., Radomska, A., Ye, H., Mantalaris, A., …Cass, A. (2008). A real-time multi-channel monitoring system for stem cell culture process. IEEE Transactions on Biomedical Circuits and Systems, 2(2), 66-77. https://doi.org/10.1109/TBCAS.2008.925639

• Journal Article Type: Article
• Online Publication Date: Sep 9, 2008
• Publication Date: Jun 1, 2008
• Deposit Date: May 7, 2021
• Journal: IEEE Transactions on Biomedical Circuits and Systems
• Print ISSN: 1932-4545
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 2
• Issue: 2
• Article Number: 66-77
• Pages: 66-77
• DOI: https://doi.org/10.1109/TBCAS.2008.925639
• Public URL: https://uwe-repository.worktribe.com/output/5667473